merge langchain chat docs back into langchain-nvidia

libs/ai-endpoints/docs/chat/nvidia_ai_endpoints.ipynb

@@ -137,28 +137,6 @@
     "llm = ChatNVIDIA(base_url=\"http://localhost:8000/v1\", model=\"meta/llama3-8b-instruct\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "7d4a4e2e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/ubuntu/raspawar/langchain-nvidia/libs/ai-endpoints/langchain_nvidia_ai_endpoints/_common.py:583: UserWarning: Default model is set as: meta/llama3-8b-instruct. \n",
-      "Set model using model parameter. \n",
-      "To get available models use available_models property.\n",
-      "  UserWarning,\n"
-     ]
-    }
-   ],
-   "source": [
-    "# OR connect to an embedding NIM running at localhost:8000, with default model(first available model)\n",
-    "llm = ChatNVIDIA(base_url=\"http://localhost:8000/v1\")"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "71d37987-d568-4a73-9d2a-8bd86323f8bf",
@@ -594,7 +572,12 @@
     "from langchain.chains import ConversationChain\n",
     "from langchain.memory import ConversationBufferMemory\n",
     "\n",
-    "chat = ChatNVIDIA(model=\"mistralai/mixtral-8x22b-instruct-v0.1\", temperature=0.1, max_tokens=100, top_p=1.0)\n",
+    "chat = ChatNVIDIA(\n",
+    "    model=\"mistralai/mixtral-8x22b-instruct-v0.1\",\n",
+    "    temperature=0.1,\n",
+    "    max_tokens=100,\n",
+    "    top_p=1.0,\n",
+    ")\n",
     "\n",
     "conversation = ConversationChain(llm=chat, memory=ConversationBufferMemory())"
    ]
@@ -649,9 +632,7 @@
    },
    "outputs": [],
    "source": [
-    "conversation.invoke(\"Tell me about yourself.\")[\n",
-    "    \"response\"\n",
-    "]\n"
+    "conversation.invoke(\"Tell me about yourself.\")[\"response\"]"
    ]
   }
  ],